Analytic Science Lead Scientist

* If you are a problem solver and like the idea of solving tough problems with data and analytics in real world situations, you will thrive here at FICO! You will have the opportunity to work side by side with some of the brightest analytical and engineering minds in the industry who share a passion for innovation." –
* Director, Analytic Science Work with large amounts of real-world data and ensure data quality throughout all stages of acquisition and processing, including data collection, normalization and transformation.
** What We’re
**** Seeking
* * MS or PhD degree in computer science, engineering, physics, statistics, mathematics, operations research or natural science fields with significant years of hands-on related experience in predictive modeling and data mining. Experience analyzing large data sets and applying data-cleaning techniques along with performing statistical analyses leading to the understanding of the structure of data sets. Proven ability to lead cross functional teams on medium to large scale projects and handling client interactions requiring strong communication skills.

Strong scripting experience using Perl, Bash, or similar. Experience working with two of the following:
Java, Python, C++ or

C. Proven and demonstrable experience with at least three of the following: neural networks, logistic regression, non-linear regression, random forests, decision trees, support vector machines, linear/non-linear optimization.
* An inclusive culture strongly reflecting our core values:  Act Like an Owner, Delight Our Customers and Earn the Respect of Others.
* The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.
* Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.
* An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.
* The targeted base pay range for this role is: $120,000 to $189,000 with this range reflecting differences in candidate knowledge, skills and experience.
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